Extreme value analysis and risk assessment: a case of pakistan stock market
Faculty / School
School of Mathematics and Computer Science (SMCS)
Department of Mathematical Sciences
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Economic Computation and Economic Cybernetics Studies and Research
Computer Sciences | Econometrics | Economics | Finance | Mathematics
The aim of this paper consists in developing a univariate extreme value analysis, with applications to the Pakistan Stock Exchange (PSX-100). The main focus refers to assessing the risk and statistical properties regarding the tails of the fitted heavy-tails distributions. For this purpose, we implement generalized extreme value distribution (GEV) and generalized Pareto distribution (GPD) by following the block maxima approach, peak-over threshold (POT) method and Poisson processes to several declustered periods. PSX-100 has become the emerging and best performer financial market in the south-Asian region in the last decade. Therefore, statistical properties of extreme events of the stock market have significant importance for investors. We have also addressed the modelling of Value-at-Risk (VaR) and Expected-Shortfall (ES) risk measures, in the context of extreme value theory (EVT).
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Sheraz, M., Nasir, I., & Dedu, S. (2021). Extreme value analysis and risk assessment: a case of pakistan stock market. Economic Computation and Economic Cybernetics Studies and Research, 55 (3), 5-20. Retrieved from https://ir.iba.edu.pk/faculty-research-articles/156